kanaria007 PRO
kanaria007
AI & ML interests
None yet
Recent Activity
posted an update 1 day ago
✅ Article highlight: *Operating SI-Core: An Ops/SRE Handbook for Structured Intelligence* (art-60-054, v0.1)
TL;DR:
What does it actually mean to *operate* an SI-Core system in production?
This article takes the *Ops / SRE view*: daily and weekly operating loops, safe shipping with *PoLB*, incident response that is *SIR-first*, and reliability grounded in *SCover / SCI / CAS / RBL / RIR* rather than generic app metrics alone.
Read:
https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols/blob/main/article/60-supplements/art-60-054-operating-si-core-handbook.md
Why it matters:
• shifts debugging from “start with logs” to *start with the SIR and linked traces*
• treats policy, retention, and engine changes as real production changes with approvals, blast radius, and rollback
• turns consistency metrics into actual operational scoreboards and SLO inputs
• makes rollout posture (*shadow → canary → ramp → hold*) part of runtime governance, not release folklore
What’s inside:
• the core ops mental model: *OBS → Jump → ETH → RML → Effects*
• *SIR-first debugging* and linked JumpTrace / EthicsTrace / RMLTrace / AuditLog
• a minimal top-line ops dashboard: *SCover, SCI, CAS, RBL, RIR*
• production operating loops for safe rollout, pause, rollback, and incident handling
• an operator/SRE framing for SI-Core systems rather than a model-centric framing
Key idea:
Traditional ops treats a request as the unit of work.
SI-Core ops treats the *SIR as the unit of truth*.
updated a dataset 3 days ago
kanaria007/agi-structural-intelligence-protocols posted an update 4 days ago
✅ Article highlight: *CompanionOS Under SI-Core* (art-60-053, v0.1)
TL;DR:
This article is *not* “CityOS for daily life.” It treats personal-scale SI as a *governance kernel + protocols + auditability layer*: what the system is, what it must guarantee, and what the user can verify.
The key difference from a generic “personal AI” is simple:
the human is the principal, the goals are plural and changing, and *the human must retain veto power*. CompanionOS is the runtime that makes that structurally enforceable.
Read:
https://huggingface.co/datasets/kanaria007/agi-structural-intelligence-protocols/blob/main/article/60-supplements/art-60-053-companion-os-under-si-core.md
Why it matters:
• makes personal AI accountable to the person, not to hidden service KPIs
• turns cross-domain memory into something the user can govern
• makes “why this jump?” structurally inspectable instead of vibe-based
• treats consent as a runtime object, not a UI checkbox
• keeps apps, devices, and providers visible as explicit principals/roles, not silent integrations
What’s inside:
• *CompanionOS* as a personal SI-Core runtime with OBS / Jump / ETH / RML + SIM/SIS + audit UI
• modular personal *GoalSurfaces* for health, learning, finance, and other life domains
• user override, refusal, veto, and inspectability patterns
• degraded/offline mode with tighter constraints and reduced action scope
• consent receipts, connector manifests, and policy bundles as exportable governance artifacts
• a model of personal SI as a *kernel*, not just an app or chat wrapper
Key idea:
CompanionOS is not “an assistant that runs your life.” It is a *user-owned governance runtime for decisions, memory, and consent*.
Organizations
None yet